CTGSYL solves the generalized Sylvester equation:
             A * R - L * B = scale * C            (1)
             D * R - L * E = scale * F
 where R and L are unknown m-by-n matrices, (A, D), (B, E) and
 (C, F) are given matrix pairs of size m-by-m, n-by-n and m-by-n,
 respectively, with complex entries. A, B, D and E are upper
 triangular (i.e., (A,D) and (B,E) in generalized Schur form).
 The solution (R, L) overwrites (C, F). 0 <= SCALE <= 1
 is an output scaling factor chosen to avoid overflow.
 In matrix notation (1) is equivalent to solve Zx = scale*b, where Z
 is defined as
        Z = [ kron(In, A)  -kron(B**H, Im) ]        (2)
            [ kron(In, D)  -kron(E**H, Im) ],
 Here Ix is the identity matrix of size x and X**H is the conjugate
 transpose of X. Kron(X, Y) is the Kronecker product between the
 matrices X and Y.
 If TRANS = 'C', y in the conjugate transposed system Z**H *y = scale*b
 is solved for, which is equivalent to solve for R and L in
             A**H * R + D**H * L = scale * C           (3)
             R * B**H + L * E**H = scale * -F
 This case (TRANS = 'C') is used to compute an one-norm-based estimate
 of Dif[(A,D), (B,E)], the separation between the matrix pairs (A,D)
 and (B,E), using CLACON.
 If IJOB >= 1, CTGSYL computes a Frobenius norm-based estimate of
 Dif[(A,D),(B,E)]. That is, the reciprocal of a lower bound on the
 reciprocal of the smallest singular value of Z.
 This is a level-3 BLAS algorithm.

TRANS

          TRANS is CHARACTER*1
          = 'N': solve the generalized sylvester equation (1).
          = 'C': solve the 'conjugate transposed' system (3).

IJOB

          IJOB is INTEGER
          Specifies what kind of functionality to be performed.
          =0: solve (1) only.
          =1: The functionality of 0 and 3.
          =2: The functionality of 0 and 4.
          =3: Only an estimate of Dif[(A,D), (B,E)] is computed.
              (look ahead strategy is used).
          =4: Only an estimate of Dif[(A,D), (B,E)] is computed.
              (CGECON on sub-systems is used).
          Not referenced if TRANS = 'C'.

M

          M is INTEGER
          The order of the matrices A and D, and the row dimension of
          the matrices C, F, R and L.

N

          N is INTEGER
          The order of the matrices B and E, and the column dimension
          of the matrices C, F, R and L.

A

          A is COMPLEX array, dimension (LDA, M)
          The upper triangular matrix A.

LDA

          LDA is INTEGER
          The leading dimension of the array A. LDA >= max(1, M).

B

          B is COMPLEX array, dimension (LDB, N)
          The upper triangular matrix B.

LDB

          LDB is INTEGER
          The leading dimension of the array B. LDB >= max(1, N).

C

          C is COMPLEX array, dimension (LDC, N)
          On entry, C contains the right-hand-side of the first matrix
          equation in (1) or (3).
          On exit, if IJOB = 0, 1 or 2, C has been overwritten by
          the solution R. If IJOB = 3 or 4 and TRANS = 'N', C holds R,
          the solution achieved during the computation of the
          Dif-estimate.

LDC

          LDC is INTEGER
          The leading dimension of the array C. LDC >= max(1, M).

D

          D is COMPLEX array, dimension (LDD, M)
          The upper triangular matrix D.

LDD

          LDD is INTEGER
          The leading dimension of the array D. LDD >= max(1, M).

E

          E is COMPLEX array, dimension (LDE, N)
          The upper triangular matrix E.

LDE

          LDE is INTEGER
          The leading dimension of the array E. LDE >= max(1, N).

F

          F is COMPLEX array, dimension (LDF, N)
          On entry, F contains the right-hand-side of the second matrix
          equation in (1) or (3).
          On exit, if IJOB = 0, 1 or 2, F has been overwritten by
          the solution L. If IJOB = 3 or 4 and TRANS = 'N', F holds L,
          the solution achieved during the computation of the
          Dif-estimate.

LDF

          LDF is INTEGER
          The leading dimension of the array F. LDF >= max(1, M).

DIF

          DIF is REAL
          On exit DIF is the reciprocal of a lower bound of the
          reciprocal of the Dif-function, i.e. DIF is an upper bound of
          Dif[(A,D), (B,E)] = sigma-min(Z), where Z as in (2).
          IF IJOB = 0 or TRANS = 'C', DIF is not referenced.

SCALE

          SCALE is REAL
          On exit SCALE is the scaling factor in (1) or (3).
          If 0 < SCALE < 1, C and F hold the solutions R and L, resp.,
          to a slightly perturbed system but the input matrices A, B,
          D and E have not been changed. If SCALE = 0, R and L will
          hold the solutions to the homogeneous system with C = F = 0.

WORK

          WORK is COMPLEX array, dimension (MAX(1,LWORK))
          On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

LWORK

          LWORK is INTEGER
          The dimension of the array WORK. LWORK > = 1.
          If IJOB = 1 or 2 and TRANS = 'N', LWORK >= max(1,2*M*N).
          If LWORK = -1, then a workspace query is assumed; the routine
          only calculates the optimal size of the WORK array, returns
          this value as the first entry of the WORK array, and no error
          message related to LWORK is issued by XERBLA.

IWORK

          IWORK is INTEGER array, dimension (M+N+2)

INFO

          INFO is INTEGER
            =0: successful exit
            <0: If INFO = -i, the i-th argument had an illegal value.
            >0: (A, D) and (B, E) have common or very close
                eigenvalues.

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden.

[1] B. Kagstrom and P. Poromaa, LAPACK-Style Algorithms and Software for Solving the Generalized Sylvester Equation and Estimating the Separation between Regular Matrix Pairs, Report UMINF - 93.23, Department of Computing Science, Umea University, S-901 87 Umea, Sweden, December 1993, Revised April 1994, Also as LAPACK Working Note 75. To appear in ACM Trans. on Math. Software, Vol 22, No 1, 1996.
[2] B. Kagstrom, A Perturbation Analysis of the Generalized Sylvester Equation (AR - LB, DR - LE ) = (C, F), SIAM J. Matrix Anal. Appl., 15(4):1045-1060, 1994.
[3] B. Kagstrom and L. Westin, Generalized Schur Methods with Condition Estimators for Solving the Generalized Sylvester Equation, IEEE Transactions on Automatic Control, Vol. 34, No. 7, July 1989, pp 745-751.

 DTGSYL solves the generalized Sylvester equation:
             A * R - L * B = scale * C                 (1)
             D * R - L * E = scale * F
 where R and L are unknown m-by-n matrices, (A, D), (B, E) and
 (C, F) are given matrix pairs of size m-by-m, n-by-n and m-by-n,
 respectively, with real entries. (A, D) and (B, E) must be in
 generalized (real) Schur canonical form, i.e. A, B are upper quasi
 triangular and D, E are upper triangular.
 The solution (R, L) overwrites (C, F). 0 <= SCALE <= 1 is an output
 scaling factor chosen to avoid overflow.
 In matrix notation (1) is equivalent to solve  Zx = scale b, where
 Z is defined as
            Z = [ kron(In, A)  -kron(B**T, Im) ]         (2)
                [ kron(In, D)  -kron(E**T, Im) ].
 Here Ik is the identity matrix of size k and X**T is the transpose of
 X. kron(X, Y) is the Kronecker product between the matrices X and Y.
 If TRANS = 'T', DTGSYL solves the transposed system Z**T*y = scale*b,
 which is equivalent to solve for R and L in
             A**T * R + D**T * L = scale * C           (3)
             R * B**T + L * E**T = scale * -F
 This case (TRANS = 'T') is used to compute an one-norm-based estimate
 of Dif[(A,D), (B,E)], the separation between the matrix pairs (A,D)
 and (B,E), using DLACON.
 If IJOB >= 1, DTGSYL computes a Frobenius norm-based estimate
 of Dif[(A,D),(B,E)]. That is, the reciprocal of a lower bound on the
 reciprocal of the smallest singular value of Z. See [1-2] for more
 information.
 This is a level 3 BLAS algorithm.

TRANS

          TRANS is CHARACTER*1
          = 'N': solve the generalized Sylvester equation (1).
          = 'T': solve the 'transposed' system (3).

IJOB

          IJOB is INTEGER
          Specifies what kind of functionality to be performed.
          = 0: solve (1) only.
          = 1: The functionality of 0 and 3.
          = 2: The functionality of 0 and 4.
          = 3: Only an estimate of Dif[(A,D), (B,E)] is computed.
               (look ahead strategy IJOB  = 1 is used).
          = 4: Only an estimate of Dif[(A,D), (B,E)] is computed.
               ( DGECON on sub-systems is used ).
          Not referenced if TRANS = 'T'.

M

          M is INTEGER
          The order of the matrices A and D, and the row dimension of
          the matrices C, F, R and L.

N

          N is INTEGER
          The order of the matrices B and E, and the column dimension
          of the matrices C, F, R and L.

A

          A is DOUBLE PRECISION array, dimension (LDA, M)
          The upper quasi triangular matrix A.

LDA

          LDA is INTEGER
          The leading dimension of the array A. LDA >= max(1, M).

B

          B is DOUBLE PRECISION array, dimension (LDB, N)
          The upper quasi triangular matrix B.

LDB

          LDB is INTEGER
          The leading dimension of the array B. LDB >= max(1, N).

C

          C is DOUBLE PRECISION array, dimension (LDC, N)
          On entry, C contains the right-hand-side of the first matrix
          equation in (1) or (3).
          On exit, if IJOB = 0, 1 or 2, C has been overwritten by
          the solution R. If IJOB = 3 or 4 and TRANS = 'N', C holds R,
          the solution achieved during the computation of the
          Dif-estimate.

LDC

          LDC is INTEGER
          The leading dimension of the array C. LDC >= max(1, M).

D

          D is DOUBLE PRECISION array, dimension (LDD, M)
          The upper triangular matrix D.

LDD

          LDD is INTEGER
          The leading dimension of the array D. LDD >= max(1, M).

E

          E is DOUBLE PRECISION array, dimension (LDE, N)
          The upper triangular matrix E.

LDE

          LDE is INTEGER
          The leading dimension of the array E. LDE >= max(1, N).

F

          F is DOUBLE PRECISION array, dimension (LDF, N)
          On entry, F contains the right-hand-side of the second matrix
          equation in (1) or (3).
          On exit, if IJOB = 0, 1 or 2, F has been overwritten by
          the solution L. If IJOB = 3 or 4 and TRANS = 'N', F holds L,
          the solution achieved during the computation of the
          Dif-estimate.

LDF

          LDF is INTEGER
          The leading dimension of the array F. LDF >= max(1, M).

DIF

          DIF is DOUBLE PRECISION
          On exit DIF is the reciprocal of a lower bound of the
          reciprocal of the Dif-function, i.e. DIF is an upper bound of
          Dif[(A,D), (B,E)] = sigma_min(Z), where Z as in (2).
          IF IJOB = 0 or TRANS = 'T', DIF is not touched.

SCALE

          SCALE is DOUBLE PRECISION
          On exit SCALE is the scaling factor in (1) or (3).
          If 0 < SCALE < 1, C and F hold the solutions R and L, resp.,
          to a slightly perturbed system but the input matrices A, B, D
          and E have not been changed. If SCALE = 0, C and F hold the
          solutions R and L, respectively, to the homogeneous system
          with C = F = 0. Normally, SCALE = 1.

WORK

          WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK))
          On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

LWORK

          LWORK is INTEGER
          The dimension of the array WORK. LWORK > = 1.
          If IJOB = 1 or 2 and TRANS = 'N', LWORK >= max(1,2*M*N).
          If LWORK = -1, then a workspace query is assumed; the routine
          only calculates the optimal size of the WORK array, returns
          this value as the first entry of the WORK array, and no error
          message related to LWORK is issued by XERBLA.

IWORK

          IWORK is INTEGER array, dimension (M+N+6)

INFO

          INFO is INTEGER
            =0: successful exit
            <0: If INFO = -i, the i-th argument had an illegal value.
            >0: (A, D) and (B, E) have common or close eigenvalues.

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden.

  [1] B. Kagstrom and P. Poromaa, LAPACK-Style Algorithms and Software
      for Solving the Generalized Sylvester Equation and Estimating the
      Separation between Regular Matrix Pairs, Report UMINF - 93.23,
      Department of Computing Science, Umea University, S-901 87 Umea,
      Sweden, December 1993, Revised April 1994, Also as LAPACK Working
      Note 75.  To appear in ACM Trans. on Math. Software, Vol 22,
      No 1, 1996.
  [2] B. Kagstrom, A Perturbation Analysis of the Generalized Sylvester
      Equation (AR - LB, DR - LE ) = (C, F), SIAM J. Matrix Anal.
      Appl., 15(4):1045-1060, 1994
  [3] B. Kagstrom and L. Westin, Generalized Schur Methods with
      Condition Estimators for Solving the Generalized Sylvester
      Equation, IEEE Transactions on Automatic Control, Vol. 34, No. 7,
      July 1989, pp 745-751.

 STGSYL solves the generalized Sylvester equation:
             A * R - L * B = scale * C                 (1)
             D * R - L * E = scale * F
 where R and L are unknown m-by-n matrices, (A, D), (B, E) and
 (C, F) are given matrix pairs of size m-by-m, n-by-n and m-by-n,
 respectively, with real entries. (A, D) and (B, E) must be in
 generalized (real) Schur canonical form, i.e. A, B are upper quasi
 triangular and D, E are upper triangular.
 The solution (R, L) overwrites (C, F). 0 <= SCALE <= 1 is an output
 scaling factor chosen to avoid overflow.
 In matrix notation (1) is equivalent to solve  Zx = scale b, where
 Z is defined as
            Z = [ kron(In, A)  -kron(B**T, Im) ]         (2)
                [ kron(In, D)  -kron(E**T, Im) ].
 Here Ik is the identity matrix of size k and X**T is the transpose of
 X. kron(X, Y) is the Kronecker product between the matrices X and Y.
 If TRANS = 'T', STGSYL solves the transposed system Z**T*y = scale*b,
 which is equivalent to solve for R and L in
             A**T * R + D**T * L = scale * C           (3)
             R * B**T + L * E**T = scale * -F
 This case (TRANS = 'T') is used to compute an one-norm-based estimate
 of Dif[(A,D), (B,E)], the separation between the matrix pairs (A,D)
 and (B,E), using SLACON.
 If IJOB >= 1, STGSYL computes a Frobenius norm-based estimate
 of Dif[(A,D),(B,E)]. That is, the reciprocal of a lower bound on the
 reciprocal of the smallest singular value of Z. See [1-2] for more
 information.
 This is a level 3 BLAS algorithm.

TRANS

          TRANS is CHARACTER*1
          = 'N': solve the generalized Sylvester equation (1).
          = 'T': solve the 'transposed' system (3).

IJOB

          IJOB is INTEGER
          Specifies what kind of functionality to be performed.
          = 0: solve (1) only.
          = 1: The functionality of 0 and 3.
          = 2: The functionality of 0 and 4.
          = 3: Only an estimate of Dif[(A,D), (B,E)] is computed.
               (look ahead strategy IJOB  = 1 is used).
          = 4: Only an estimate of Dif[(A,D), (B,E)] is computed.
               ( SGECON on sub-systems is used ).
          Not referenced if TRANS = 'T'.

M

          M is INTEGER
          The order of the matrices A and D, and the row dimension of
          the matrices C, F, R and L.

N

          N is INTEGER
          The order of the matrices B and E, and the column dimension
          of the matrices C, F, R and L.

A

          A is REAL array, dimension (LDA, M)
          The upper quasi triangular matrix A.

LDA

          LDA is INTEGER
          The leading dimension of the array A. LDA >= max(1, M).

B

          B is REAL array, dimension (LDB, N)
          The upper quasi triangular matrix B.

LDB

          LDB is INTEGER
          The leading dimension of the array B. LDB >= max(1, N).

C

          C is REAL array, dimension (LDC, N)
          On entry, C contains the right-hand-side of the first matrix
          equation in (1) or (3).
          On exit, if IJOB = 0, 1 or 2, C has been overwritten by
          the solution R. If IJOB = 3 or 4 and TRANS = 'N', C holds R,
          the solution achieved during the computation of the
          Dif-estimate.

LDC

          LDC is INTEGER
          The leading dimension of the array C. LDC >= max(1, M).

D

          D is REAL array, dimension (LDD, M)
          The upper triangular matrix D.

LDD

          LDD is INTEGER
          The leading dimension of the array D. LDD >= max(1, M).

E

          E is REAL array, dimension (LDE, N)
          The upper triangular matrix E.

LDE

          LDE is INTEGER
          The leading dimension of the array E. LDE >= max(1, N).

F

          F is REAL array, dimension (LDF, N)
          On entry, F contains the right-hand-side of the second matrix
          equation in (1) or (3).
          On exit, if IJOB = 0, 1 or 2, F has been overwritten by
          the solution L. If IJOB = 3 or 4 and TRANS = 'N', F holds L,
          the solution achieved during the computation of the
          Dif-estimate.

LDF

          LDF is INTEGER
          The leading dimension of the array F. LDF >= max(1, M).

DIF

          DIF is REAL
          On exit DIF is the reciprocal of a lower bound of the
          reciprocal of the Dif-function, i.e. DIF is an upper bound of
          Dif[(A,D), (B,E)] = sigma_min(Z), where Z as in (2).
          IF IJOB = 0 or TRANS = 'T', DIF is not touched.

SCALE

          SCALE is REAL
          On exit SCALE is the scaling factor in (1) or (3).
          If 0 < SCALE < 1, C and F hold the solutions R and L, resp.,
          to a slightly perturbed system but the input matrices A, B, D
          and E have not been changed. If SCALE = 0, C and F hold the
          solutions R and L, respectively, to the homogeneous system
          with C = F = 0. Normally, SCALE = 1.

WORK

          WORK is REAL array, dimension (MAX(1,LWORK))
          On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

LWORK

          LWORK is INTEGER
          The dimension of the array WORK. LWORK > = 1.
          If IJOB = 1 or 2 and TRANS = 'N', LWORK >= max(1,2*M*N).
          If LWORK = -1, then a workspace query is assumed; the routine
          only calculates the optimal size of the WORK array, returns
          this value as the first entry of the WORK array, and no error
          message related to LWORK is issued by XERBLA.

IWORK

          IWORK is INTEGER array, dimension (M+N+6)

INFO

          INFO is INTEGER
            =0: successful exit
            <0: If INFO = -i, the i-th argument had an illegal value.
            >0: (A, D) and (B, E) have common or close eigenvalues.

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden.

  [1] B. Kagstrom and P. Poromaa, LAPACK-Style Algorithms and Software
      for Solving the Generalized Sylvester Equation and Estimating the
      Separation between Regular Matrix Pairs, Report UMINF - 93.23,
      Department of Computing Science, Umea University, S-901 87 Umea,
      Sweden, December 1993, Revised April 1994, Also as LAPACK Working
      Note 75.  To appear in ACM Trans. on Math. Software, Vol 22,
      No 1, 1996.
  [2] B. Kagstrom, A Perturbation Analysis of the Generalized Sylvester
      Equation (AR - LB, DR - LE ) = (C, F), SIAM J. Matrix Anal.
      Appl., 15(4):1045-1060, 1994
  [3] B. Kagstrom and L. Westin, Generalized Schur Methods with
      Condition Estimators for Solving the Generalized Sylvester
      Equation, IEEE Transactions on Automatic Control, Vol. 34, No. 7,
      July 1989, pp 745-751.

 ZTGSYL solves the generalized Sylvester equation:
             A * R - L * B = scale * C            (1)
             D * R - L * E = scale * F
 where R and L are unknown m-by-n matrices, (A, D), (B, E) and
 (C, F) are given matrix pairs of size m-by-m, n-by-n and m-by-n,
 respectively, with complex entries. A, B, D and E are upper
 triangular (i.e., (A,D) and (B,E) in generalized Schur form).
 The solution (R, L) overwrites (C, F). 0 <= SCALE <= 1
 is an output scaling factor chosen to avoid overflow.
 In matrix notation (1) is equivalent to solve Zx = scale*b, where Z
 is defined as
        Z = [ kron(In, A)  -kron(B**H, Im) ]        (2)
            [ kron(In, D)  -kron(E**H, Im) ],
 Here Ix is the identity matrix of size x and X**H is the conjugate
 transpose of X. Kron(X, Y) is the Kronecker product between the
 matrices X and Y.
 If TRANS = 'C', y in the conjugate transposed system Z**H *y = scale*b
 is solved for, which is equivalent to solve for R and L in
             A**H * R + D**H * L = scale * C           (3)
             R * B**H + L * E**H = scale * -F
 This case (TRANS = 'C') is used to compute an one-norm-based estimate
 of Dif[(A,D), (B,E)], the separation between the matrix pairs (A,D)
 and (B,E), using ZLACON.
 If IJOB >= 1, ZTGSYL computes a Frobenius norm-based estimate of
 Dif[(A,D),(B,E)]. That is, the reciprocal of a lower bound on the
 reciprocal of the smallest singular value of Z.
 This is a level-3 BLAS algorithm.

TRANS

          TRANS is CHARACTER*1
          = 'N': solve the generalized sylvester equation (1).
          = 'C': solve the 'conjugate transposed' system (3).

IJOB

          IJOB is INTEGER
          Specifies what kind of functionality to be performed.
          =0: solve (1) only.
          =1: The functionality of 0 and 3.
          =2: The functionality of 0 and 4.
          =3: Only an estimate of Dif[(A,D), (B,E)] is computed.
              (look ahead strategy is used).
          =4: Only an estimate of Dif[(A,D), (B,E)] is computed.
              (ZGECON on sub-systems is used).
          Not referenced if TRANS = 'C'.

M

          M is INTEGER
          The order of the matrices A and D, and the row dimension of
          the matrices C, F, R and L.

N

          N is INTEGER
          The order of the matrices B and E, and the column dimension
          of the matrices C, F, R and L.

A

          A is COMPLEX*16 array, dimension (LDA, M)
          The upper triangular matrix A.

LDA

          LDA is INTEGER
          The leading dimension of the array A. LDA >= max(1, M).

B

          B is COMPLEX*16 array, dimension (LDB, N)
          The upper triangular matrix B.

LDB

          LDB is INTEGER
          The leading dimension of the array B. LDB >= max(1, N).

C

          C is COMPLEX*16 array, dimension (LDC, N)
          On entry, C contains the right-hand-side of the first matrix
          equation in (1) or (3).
          On exit, if IJOB = 0, 1 or 2, C has been overwritten by
          the solution R. If IJOB = 3 or 4 and TRANS = 'N', C holds R,
          the solution achieved during the computation of the
          Dif-estimate.

LDC

          LDC is INTEGER
          The leading dimension of the array C. LDC >= max(1, M).

D

          D is COMPLEX*16 array, dimension (LDD, M)
          The upper triangular matrix D.

LDD

          LDD is INTEGER
          The leading dimension of the array D. LDD >= max(1, M).

E

          E is COMPLEX*16 array, dimension (LDE, N)
          The upper triangular matrix E.

LDE

          LDE is INTEGER
          The leading dimension of the array E. LDE >= max(1, N).

F

          F is COMPLEX*16 array, dimension (LDF, N)
          On entry, F contains the right-hand-side of the second matrix
          equation in (1) or (3).
          On exit, if IJOB = 0, 1 or 2, F has been overwritten by
          the solution L. If IJOB = 3 or 4 and TRANS = 'N', F holds L,
          the solution achieved during the computation of the
          Dif-estimate.

LDF

          LDF is INTEGER
          The leading dimension of the array F. LDF >= max(1, M).

DIF

          DIF is DOUBLE PRECISION
          On exit DIF is the reciprocal of a lower bound of the
          reciprocal of the Dif-function, i.e. DIF is an upper bound of
          Dif[(A,D), (B,E)] = sigma-min(Z), where Z as in (2).
          IF IJOB = 0 or TRANS = 'C', DIF is not referenced.

SCALE

          SCALE is DOUBLE PRECISION
          On exit SCALE is the scaling factor in (1) or (3).
          If 0 < SCALE < 1, C and F hold the solutions R and L, resp.,
          to a slightly perturbed system but the input matrices A, B,
          D and E have not been changed. If SCALE = 0, R and L will
          hold the solutions to the homogeneous system with C = F = 0.

WORK

          WORK is COMPLEX*16 array, dimension (MAX(1,LWORK))
          On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

LWORK

          LWORK is INTEGER
          The dimension of the array WORK. LWORK > = 1.
          If IJOB = 1 or 2 and TRANS = 'N', LWORK >= max(1,2*M*N).
          If LWORK = -1, then a workspace query is assumed; the routine
          only calculates the optimal size of the WORK array, returns
          this value as the first entry of the WORK array, and no error
          message related to LWORK is issued by XERBLA.

IWORK

          IWORK is INTEGER array, dimension (M+N+2)

INFO

          INFO is INTEGER
            =0: successful exit
            <0: If INFO = -i, the i-th argument had an illegal value.
            >0: (A, D) and (B, E) have common or very close
                eigenvalues.

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden.

[1] B. Kagstrom and P. Poromaa, LAPACK-Style Algorithms and Software for Solving the Generalized Sylvester Equation and Estimating the Separation between Regular Matrix Pairs, Report UMINF - 93.23, Department of Computing Science, Umea University, S-901 87 Umea, Sweden, December 1993, Revised April 1994, Also as LAPACK Working Note 75. To appear in ACM Trans. on Math. Software, Vol 22, No 1, 1996.
[2] B. Kagstrom, A Perturbation Analysis of the Generalized Sylvester Equation (AR - LB, DR - LE ) = (C, F), SIAM J. Matrix Anal. Appl., 15(4):1045-1060, 1994.
[3] B. Kagstrom and L. Westin, Generalized Schur Methods with Condition Estimators for Solving the Generalized Sylvester Equation, IEEE Transactions on Automatic Control, Vol. 34, No. 7, July 1989, pp 745-751.